I need to identify all numeric columns across the dataset and compute their distribution statistics. Let me start by getting a complete list of numeric columns from the metadata. ```json { "action": "tool_call", "reasoning": "I need to find all numeric columns across all tables. The step-0 result shows phys_type for many columns, but it's truncated at 50 rows. I'll query the meta.columns catalog to get all numeric columns (INTEGER, BIGINT, DOUBLE, DECIMAL, FLOAT types) across the entire dataset.", "tool": "query_sql", "args": { "sql": "SELECT table_name, column_name, phys_type FROM meta.columns WHERE phys_type IN ('BIGINT', 'INTEGER', 'DOUBLE', 'DECIMAL', 'FLOAT', 'HUGEINT') ORDER BY table_name, column_name", "purpose": "Get complete list of all numeric columns across all tables to compute distribution statistics" } } ```